{"meta":{"query_hash":"beb627601ef3","filters":{"venue":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/beb627601ef3","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+International+Conference+on+Advanced+Robotics+and+Mechatronics+%28ICARM%29"},"results":[{"id":"W4312283584","doi":"10.1109/icarm54641.2022.9959588","title":"Classification of Driver Cognitive Load based on Physiological Data: Exploring Recurrent Neural Networks","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalizability theory; Computer science; Cognitive load; Task (project management); Recurrent neural network; Cognition; Machine learning; Artificial neural network; Artificial intelligence; Driving simulator; Task analysis; Engineering; Psychology","score_opus":0.1911536544055763,"score_gpt":0.391033261970385,"score_spread":0.19987960756480871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312283584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93748236,0.00040464156,0.060131453,0.00027096385,0.00003979609,0.000040486448,0.0003146704,0.0002521141,0.0010635133],"genre_scores_gemma":[0.9946795,0.00010900625,0.0044878116,0.000022618144,0.000016316333,0.000017502549,0.0003012866,0.000009918086,0.00035597454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996984,0.00008764091,0.000015672025,0.00010142923,0.0000446871,0.000052185755],"domain_scores_gemma":[0.9992249,0.00041788828,0.00010720617,0.000065927976,0.00014754858,0.000036481673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008503202,0.0007878949,0.00041905168,0.0006710197,0.00014466692,0.00066553993,0.0005419039,0.0003858416,0.00034595764],"category_scores_gemma":[0.002897293,0.00020838955,0.00046971894,0.0003997655,0.00020624306,0.0007096832,0.00042049144,0.0005968758,0.00016179585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011035509,0.00090316974,0.14749126,0.00017200955,0.00054815423,0.00036819323,0.00085674337,0.4969223,0.023688907,0.0014851175,0.002509714,0.32395098],"study_design_scores_gemma":[0.000006456766,0.00006810277,0.022879085,0.0000089099885,0.000029517185,0.000023869961,0.00007274497,0.97457236,0.00127946,0.00086518005,0.00018053537,0.000013794665],"about_ca_topic_score_codex":0.0077897557,"about_ca_topic_score_gemma":0.007207263,"teacher_disagreement_score":0.0077897557,"about_ca_system_score_codex":0.00042849078,"about_ca_system_score_gemma":0.00027498612,"threshold_uncertainty_score":0.015488863},"labels":[],"label_agreement":null},{"id":"W4312302359","doi":"10.1109/icarm54641.2022.9959352","title":"Multi-Objective Admittance Control: An LMI-Based Method","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Advanced Robotics and Mechatronics (ICARM)","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Admittance; Robustness (evolution); Control theory (sociology); Passivity; Robust control; Admittance parameters; Computer science; Robot; Control engineering; Control system; Engineering; Control (management); Electrical impedance; Voltage; Artificial intelligence","score_opus":0.019583989725520126,"score_gpt":0.28988285767414196,"score_spread":0.27029886794862185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312302359","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078000483,0.00007647694,0.99587256,0.000052322368,0.000022445956,0.000029194834,0.000011230125,0.00015020884,0.0030055742],"genre_scores_gemma":[0.47752666,0.00068861427,0.50553924,0.00026518764,0.0002145557,0.0007659253,0.00017772963,0.00034184626,0.014480304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960405,0.00010690792,0.000022139047,0.00007178636,0.00016322559,0.0000319132],"domain_scores_gemma":[0.9996432,0.00015245672,0.00005104869,0.00002422382,0.0001137748,0.000015345644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009225774,0.00150896,0.0008767758,0.0006882945,0.0004557032,0.0010105867,0.001284778,0.00095554936,0.007274001],"category_scores_gemma":[0.0011182933,0.0004554268,0.00080807594,0.00056946237,0.0006259591,0.00079373555,0.0011490565,0.001459255,0.0010468405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007652722,0.00009241497,0.0001771641,0.0004516202,0.00007801784,0.00027733535,0.00022203392,0.76428264,0.018258875,0.050119393,0.0038365137,0.1621275],"study_design_scores_gemma":[0.000010283931,0.00004279732,0.00003270896,0.000012549505,0.0000070100564,0.0000233041,0.000007842846,0.9945867,0.00076518505,0.0029252921,0.0015799713,0.000006321503],"about_ca_topic_score_codex":0.0025441742,"about_ca_topic_score_gemma":0.0023525108,"teacher_disagreement_score":0.007274001,"about_ca_system_score_codex":0.0006286747,"about_ca_system_score_gemma":0.0007706114,"threshold_uncertainty_score":0.024333954},"labels":[],"label_agreement":null}]}